Quick wins for a faster PC:
Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →An AI-exposure score cannot tell you whether your job will disappear. It estimates how much of the work in an occupation may be technically suited to AI. To assess your own risk, examine the tasks you actually do, consider whether your workplace can and will automate them, and track real changes in hiring and work—not just exposure estimates.
What AI exposure does—and does not—tell you
AI exposure describes the potential for a technology to perform or assist with work activities. It is not a prediction that an employer will adopt that technology, eliminate a position, or reduce headcount. The International Labour Organization (ILO) says its exposure indicators are an early step: they do not account fully for economic feasibility, adoption barriers, or other conditions that shape what happens in practice. The ILO recommends reading them alongside evidence such as employment, wages, job transitions, and economic and institutional factors (ILO, 2026 brief on AI exposure indicators).
As an Amazon Associate I earn from qualifying purchases.
The distinction matters because occupations are bundles of tasks. An AI system may be able to draft a routine report or summarize documents without taking over the judgment, communication, accountability, or exception handling that also make up someone’s role. As ILO Senior Researcher Paweł Gmyrek put it in a September 2025 interview, exposure indicates the “potential for a large share of its current tasks to be performed using this technology,” not the immediate automation of an entire occupation (ILO interview with Paweł Gmyrek).
Free tools Windows power users keep installed
One-click scans. No signup required.
What current estimates say
The figures below describe different measures and populations. The ILO estimates occupational exposure to generative AI (GenAI) globally; the OECD figures describe vacancies in occupations classified as highly exposed to AI in ten countries. Neither set is a forecast of job losses.
#1 Best Overall
| Measure | Finding | What it means |
|---|---|---|
| ILO global GenAI exposure, 2025 | One in four workers worldwide are in an occupation with some exposure; 3.3% of global employment is in the highest exposure category. | Some exposure is widespread, but the highest category is a much smaller share. These are occupational exposure estimates, not individual job-loss probabilities. (ILO Working Paper 140) |
| ILO highest exposure category by gender, 2025 | 4.7% of female employment and 2.4% of male employment globally. | The shares refer to the highest category in the ILO GenAI exposure index, not to predicted layoffs. (ILO Working Paper 140) |
| ILO exposure gradients by country income group, 2025 | 11% of employment in low-income countries and 34% in high-income countries fall into one of the four exposure gradients. | The comparison concerns the ILO’s GenAI exposure measure and its gradients; it does not establish how many jobs will be automated. (ILO Working Paper 140) |
| OECD vacancy analysis, published 2024 | About one-third of vacancies across ten OECD countries were in occupations classified as highly exposed to AI, ranging from 31% in Austria to 45% in the United Kingdom. The underlying vacancy data run through 2021–22. | This is a study-specific, broader AI exposure classification applied to vacancies—not the share of workers who lost jobs or a direct comparison with the ILO’s global GenAI estimates. (OECD policy brief) |
The ILO’s 2025 occupation explainer names data-entry clerks, typists, accounting and bookkeeping clerks, administrative secretaries, financial analysts, web and multimedia developers, application programmers, and investment advisers among occupations with exposed tasks. These are occupation-level examples, not predictions about every person who holds one of those titles (ILO occupation explainer).
How to assess the tasks in your own job
Use this as a structured screening exercise, not as a personal probability calculator. A job title alone is too broad: two people with the same title may spend their time on very different work.
- List the work you repeat. Include regular deliverables, information gathering, routine decisions, exceptions, handoffs, interactions with customers or colleagues, and review or sign-off responsibilities.
- Consider each task separately. Ask whether it is mainly digital and information-based, whether current GenAI could plausibly perform or speed it up, and how much it depends on human judgment, accountability, physical context, or interaction. Assistance with a task is not the same as replacing the person doing it.
- Look at the mix, not just an average. A role with many moderately exposed tasks differs from one with a few highly exposed tasks and many that are not. The ILO framework scores tasks from 0 (the task could not be performed by GenAI) to 1 (it could be performed entirely by GenAI), then considers both an occupation’s mean task exposure and the variability of scores among its tasks. Its gradients describe exposure patterns, not layoff categories (ILO methodology and gradients).
- Check whether automation is feasible at your workplace. Consider access to suitable tools and data, infrastructure, costs, accuracy requirements, privacy and operational limits, and management’s adoption choices. Technical potential may not translate into practical use.
- Watch actual workplace signals separately. Track changes in vacancies, staffing, pay, work design, and job transitions. These are observed outcomes; exposure metrics do not measure them.
- Revisit the assessment. Tools and workplace practices change, so a current exposure estimate should not be treated as a durable prediction.
Why task exposure varies between occupations and studies
The ILO’s GenAI index aggregates task-level scores to occupations, while also accounting for how much scores vary across the tasks in each occupation. Its highest gradient represents high, relatively consistent exposure; other gradients capture lower or more mixed exposure. A high occupational mean can therefore conceal important differences in the tasks people actually perform.
Outdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchWindows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallThere is no single universal “AI risk score.” Before comparing estimates, check what the study measures: GenAI or broader AI; tasks, whole occupations, job vacancies, or observed workplace outcomes; how tasks are defined and scored; which occupational classification, countries, and dates are covered; and whether the result measures technical potential, adoption, or actual employment change. The ILO cautions that exposure estimates can also reflect subjective assumptions and static descriptions of current work, so different methods can produce different results (ILO, 17 April 2026).
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What exposed occupations suggest about skills
High exposure does not mean that a role consists only of automatable tasks. In its analysis of vacancies across ten OECD countries, the OECD found that 72% of vacancies in highly exposed occupations demanded at least one management skill, and 67% demanded at least one business skill in 2021–22. The brief also identifies demand across business, management, digital, social, emotional, cognitive, and language skills (OECD policy brief).
Those findings describe what employers requested in the studied vacancies; they do not prove that any particular skill guarantees job security. For an individual, the useful next step is to identify which parts of the work are changing and which skills are relevant to the tasks and responsibilities their role still requires.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
